def 			lowercase(	UpperCamelCase_       )		->	None:







 '''simple docstring'''
 UpperCamelCase			  =      generate_pascal_triangle(UpperCamelCase_       )
 for row_idx in range(UpperCamelCase_       ):
  # Print left spaces
  for _ in range(num_rows - row_idx - 1       ):
   print(end=""" """       )
  # Print row values
  for col_idx in range(row_idx + 1       ):
   if col_idx != row_idx:
    print(triangle[row_idx][col_idx]							,					end=""" """       )
   else:
    print(triangle[row_idx][col_idx]							,					end=""""""       )
  print()





def 			lowercase(	UpperCamelCase_       )		->	list[list[int]]:







 '''simple docstring'''

 if not isinstance(UpperCamelCase_							,					UpperCamelCase_       ):
  raise TypeError("""The input value of 'num_rows' should be 'int'"""       )

 if num_rows == 0:
  return []
 elif num_rows < 0:
  raise ValueError(
      """The input value of 'num_rows' should be greater than or equal to 0"""       )

 UpperCamelCase			  =      []
 for current_row_idx in range(UpperCamelCase_       ):
  UpperCamelCase			  =      populate_current_row(UpperCamelCase_							,					UpperCamelCase_       )
  triangle.append(UpperCamelCase_       )
 return triangle





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	list[int]:







 '''simple docstring'''
 UpperCamelCase			  =      [-1] * (current_row_idx + 1)
 # first and last elements of current row are equal to 1
 UpperCamelCase  ,     UpperCamelCase			  =      1, 1
 for current_col_idx in range(1							,					UpperCamelCase_       ):
  calculate_current_element(
      UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )
 return current_row





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_							,					)		->	None:







 '''simple docstring'''
 UpperCamelCase			  =      triangle[current_row_idx - 1][current_col_idx - 1]
 UpperCamelCase			  =      triangle[current_row_idx - 1][current_col_idx]
 UpperCamelCase			  =      above_to_left_elt + above_to_right_elt





def 			lowercase(	UpperCamelCase_       )		->	list[list[int]]:







 '''simple docstring'''

 if not isinstance(UpperCamelCase_							,					UpperCamelCase_       ):
  raise TypeError("""The input value of 'num_rows' should be 'int'"""       )

 if num_rows == 0:
  return []
 elif num_rows < 0:
  raise ValueError(
      """The input value of 'num_rows' should be greater than or equal to 0"""       )

 UpperCamelCase			  =      [[1]]

 for row_index in range(1							,					UpperCamelCase_       ):
  UpperCamelCase			  =      [0] + result[-1] + [0]
  UpperCamelCase			  =      row_index + 1
  # Calculate the number of distinct elements in a row
  UpperCamelCase			  =      sum(divmod(UpperCamelCase_							,					2       )       )
  UpperCamelCase			  =      [
      temp_row[i - 1] + temp_row[i] for i in range(1							,					distinct_elements + 1       )
  ]
  UpperCamelCase			  =      row_first_half[: (row_index + 1) // 2]
  row_second_half.reverse()
  UpperCamelCase			  =      row_first_half + row_second_half
  result.append(UpperCamelCase_       )

 return result





def 			lowercase(	)		->	None:







 '''simple docstring'''
 from collections.abc import Callable
 from timeit import timeit

 def benchmark_a_function(UpperCamelCase_							,					UpperCamelCase_       ) -> None:
  UpperCamelCase			  =      f"""{func.__name__}({value})"""
  UpperCamelCase			  =      timeit(f"""__main__.{call}"""							,					setup="""import __main__"""       )
  # print(f"{call:38} = {func(value)} -- {timing:.4f} seconds")
  print(f"""{call:38} -- {timing:.4f} seconds"""       )

 for value in range(15       ):  # (1, 7, 14):
  for func in (generate_pascal_triangle, generate_pascal_triangle_optimized):
   benchmark_a_function(UpperCamelCase_							,					UpperCamelCase_       )
  print()


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()

from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
     import torch

if is_vision_available():
     from PIL import Image


_SCREAMING_SNAKE_CASE 		=      ["""text""", """image""", """audio"""]





def 			lowercase(	UpperCamelCase_       )		->	Optional[Any]:







 '''simple docstring'''
 UpperCamelCase			  =      []

 for input_type in input_types:
  if input_type == "text":
   inputs.append("""Text input"""       )
  elif input_type == "image":
   inputs.append(
       Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       ).resize((512, 512)       )       )
  elif input_type == "audio":
   inputs.append(torch.ones(3000       )       )
  elif isinstance(UpperCamelCase_							,					UpperCamelCase_       ):
   inputs.append(create_inputs(UpperCamelCase_       )       )
  else:
   raise ValueError(f"""Invalid type requested: {input_type}"""       )

 return inputs





def 			lowercase(	UpperCamelCase_       )		->	Tuple:







 '''simple docstring'''
 UpperCamelCase			  =      []

 for output in outputs:
  if isinstance(UpperCamelCase_							,					(str, AgentText)       ):
   output_types.append("""text"""       )
  elif isinstance(UpperCamelCase_							,					(Image.Image, AgentImage)       ):
   output_types.append("""image"""       )
  elif isinstance(UpperCamelCase_							,					(torch.Tensor, AgentAudio)       ):
   output_types.append("""audio"""       )
  else:
   raise ValueError(f"""Invalid output: {output}"""       )

 return output_types


@is_tool_test
class SCREAMING_SNAKE_CASE_		:







   def 						lowerCamelCase_	(     self						:						int				):





    """simple docstring"""


    self.assertTrue(hasattr(self.tool   ,   """inputs"""				)				)
    self.assertTrue(hasattr(self.tool   ,   """outputs"""				)				)

    UpperCamelCase			  =      self.tool.inputs
    for _input in inputs:
     if isinstance(_input   ,   lowerCamelCase_				):
      for __input in _input:
       self.assertTrue(__input in authorized_types				)
     else:
      self.assertTrue(_input in authorized_types				)

    UpperCamelCase			  =      self.tool.outputs
    for _output in outputs:
     self.assertTrue(_output in authorized_types				)







   def 						lowerCamelCase_	(     self						:						List[Any]				):





    """simple docstring"""


    UpperCamelCase			  =      create_inputs(self.tool.inputs				)
    UpperCamelCase			  =      self.tool(*lowerCamelCase_				)

    # There is a single output
    if len(self.tool.outputs				) == 1:
     UpperCamelCase			  =      [outputs]

    self.assertListEqual(output_types(lowerCamelCase_				)   ,   self.tool.outputs				)







   def 						lowerCamelCase_	(     self						:						Union[str, Any]				):





    """simple docstring"""


    self.assertTrue(hasattr(self.tool   ,   """description"""				)				)
    self.assertTrue(hasattr(self.tool   ,   """default_checkpoint"""				)				)
    self.assertTrue(self.tool.description.startswith("""This is a tool that"""				)				)







   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    UpperCamelCase			  =      create_inputs(self.tool.inputs				)
    UpperCamelCase			  =      self.tool(*lowerCamelCase_				)

    if not isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
     UpperCamelCase			  =      [outputs]

    self.assertEqual(len(lowerCamelCase_				)   ,   len(self.tool.outputs				)				)

    for output, output_type in zip(lowerCamelCase_   ,   self.tool.outputs				):
     UpperCamelCase			  =      AGENT_TYPE_MAPPING[output_type]
     self.assertTrue(isinstance(lowerCamelCase_   ,   lowerCamelCase_				)				)







   def 						lowerCamelCase_	(     self						:						Optional[int]				):





    """simple docstring"""


    UpperCamelCase			  =      create_inputs(self.tool.inputs				)

    UpperCamelCase			  =      []

    for _input, input_type in zip(lowerCamelCase_   ,   self.tool.inputs				):
     if isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
      _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input				) for _input_type in input_type]				)
     else:
      _inputs.append(AGENT_TYPE_MAPPING[input_type](_input				)				)

        # Should not raise an error
    UpperCamelCase			  =      self.tool(*lowerCamelCase_				)

    if not isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
     UpperCamelCase			  =      [outputs]

    self.assertEqual(len(lowerCamelCase_				)   ,   len(self.tool.outputs				)				)
